자료유형 | 학위논문 |
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서명/저자사항 | Bayesian Model Selection and Estimation without MCMC. |
개인저자 | Deshpande, Sameer K. |
단체저자명 | University of Pennsylvania. Statistics. |
발행사항 | [S.l.]: University of Pennsylvania., 2018. |
발행사항 | Ann Arbor: ProQuest Dissertations & Theses, 2018. |
형태사항 | 120 p. |
기본자료 저록 | Dissertation Abstracts International 79-10B(E). Dissertation Abstract International |
ISBN | 9780438036420 |
학위논문주기 | Thesis (Ph.D.)--University of Pennsylvania, 2018. |
일반주기 |
Source: Dissertation Abstracts International, Volume: 79-10(E), Section: B.
Adviser: Edward I. George. |
요약 | This dissertation explores Bayesian model selection and estimation in settings where the model space is too vast to rely on Markov Chain Monte Carlo for posterior calculation. First, we consider the problem of sparse multivariate linear regressi |
일반주제명 | Statistics. |
언어 | 영어 |
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: 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |